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Classification Tree Based on Receiver Operating Characteristic Curves

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Rossa A., University of Łódź C. o. S. M.
Acta Universitatis Lodziensis. Folia Oeconomica
|
2006
|
vol. 196
EN
The paper deals with a new classification algorithm for discriminating between two populations. The proposed algorithm uses properties of a receiver operating characteristic function ROC(v) and a goodness-of-fit statistic proposed for testing the null hypothesis H₀ : ROC(v) = v against H₁ : ~ H₀.
PL
W artykule przedstawiono propozycję konstrukcji drzewa klasyfikacyjnego, wykorzystującą własności krzywych operacyjno-charakterystyczných oraz statystyki testu zgodności χ² dla weryfikacji hipotezy zerowej H₀ : ROC(v) = v przeciwko hipotezie H₁ : ~ H₀.
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